Chaos Solitons & Fractals, Год журнала: 2024, Номер 191, С. 115910 - 115910
Опубликована: Дек. 17, 2024
Язык: Английский
Chaos Solitons & Fractals, Год журнала: 2024, Номер 191, С. 115910 - 115910
Опубликована: Дек. 17, 2024
Язык: Английский
Advanced Functional Materials, Год журнала: 2025, Номер unknown
Опубликована: Янв. 24, 2025
Abstract Organic memristors have emerged as promising candidates for neuromorphic computing due to their potential low‐cost fabrication, large‐scale integration, and biomimetic functionality. However, practical applications are often hindered by limited thermal stability device‐to‐device variability. Here, an organic polymer‐based memristor using a thiadiazolobenzotriazole (TBZ) 2,5‐Dioctyl‐3,6‐di(thiophen‐2‐yl)pyrrolo[3,4‐c]pyrrole‐1,4(2H,5H)‐dione (DPP)‐based conjugated polymer is presented that exhibits exceptional reliable resistance switching behavior over wide temperature range (153–573 K). The device leverages charge‐transfer mechanism achieve gradual uniform switching, overcoming the challenges associated with filamentary‐based mechanisms. memristor's consistent performance enable its integration into various applications, including image processing. device's ability demonstrated effectively deblur images, even under varying conditions, showcasing robust computing. This study establishes pathway toward high‐performance, thermally stable advanced artificial intelligence applications.
Язык: Английский
Процитировано
1ACS Applied Electronic Materials, Год журнала: 2025, Номер unknown
Опубликована: Март 8, 2025
Язык: Английский
Процитировано
0Applied Surface Science, Год журнала: 2025, Номер unknown, С. 162973 - 162973
Опубликована: Март 1, 2025
Язык: Английский
Процитировано
0Journal of Alloys and Compounds, Год журнала: 2025, Номер unknown, С. 179892 - 179892
Опубликована: Март 1, 2025
Язык: Английский
Процитировано
0Chaos Solitons & Fractals, Год журнала: 2025, Номер 196, С. 116381 - 116381
Опубликована: Март 31, 2025
Язык: Английский
Процитировано
0ACS Applied Materials & Interfaces, Год журнала: 2025, Номер unknown
Опубликована: Март 31, 2025
Reservoir computing as one of the artificial neural networks can process input signals in various ways, thereby showing strength modeling data that changes over time. The reservoir is utilized fields because it particularly energy efficient learning and exhibit powerful performance with relatively few trainings cost. This study emphasizes significant advantages hafnium zirconium oxide (HZO) film applications by controlling depolarization field. decay time HZO-based ferroelectric memory devices investigated, focusing on impact both layer thickness interlayer (IL) physical system. Devices HZO thicknesses 10, 15, 20 nm were fabricated characterized. Among these, 15 demonstrated optimal thickness, exhibiting excellent properties, including enhanced orthorhombic phase (o-phase) formation reliable short-term characteristics. When optimized device for integrated into a system, achieved remarkable average accuracy 93.42% image recognition tasks, emphasizing its capability high-precision computations.
Язык: Английский
Процитировано
0Chinese Journal of Physics, Год журнала: 2025, Номер unknown
Опубликована: Апрель 1, 2025
Язык: Английский
Процитировано
0Chaos Solitons & Fractals, Год журнала: 2024, Номер 191, С. 115910 - 115910
Опубликована: Дек. 17, 2024
Язык: Английский
Процитировано
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